PaddleX/static/examples/human_segmentation/pretrain_weights/download_pretrain_weights.py

# coding: utf8
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys
import os

LOCAL_PATH = os.path.dirname(os.path.abspath(__file__))

import paddlex as pdx
import paddlehub as hub

model_urls = {
    "PaddleX_HumanSeg_Server_Params":
    "https://bj.bcebos.com/paddlex/models/humanseg/humanseg_server_params.tar",
    "PaddleX_HumanSeg_Server_Inference":
    "https://bj.bcebos.com/paddlex/models/humanseg/humanseg_server_inference.tar",
    "PaddleX_HumanSeg_Mobile_Params":
    "https://bj.bcebos.com/paddlex/models/humanseg/humanseg_mobile_params.tar",
    "PaddleX_HumanSeg_Mobile_Inference":
    "https://bj.bcebos.com/paddlex/models/humanseg/humanseg_mobile_inference.tar",
    "PaddleX_HumanSeg_Mobile_Quant":
    "https://bj.bcebos.com/paddlex/models/humanseg/humanseg_mobile_quant.tar"
}

if __name__ == "__main__":
    for model_name, url in model_urls.items():
        pdx.utils.download_and_decompress(url=url, path=LOCAL_PATH)
    print("Pretrained Model download success!")